{"id":"W1828368664","doi":"10.1139/cjfas-2013-0236","title":"Interspecific relationships and environmentally driven catchabilities estimated from fisheries data","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perch; Interspecific competition; Fishery; Stock (firearms); Fish stock; Ecology; Stock assessment; Sander; Fisheries management; Biology; Geography; Environmental science; Fishing; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006578366,0.0009731001,0.0008040848,0.002007498,0.0004993587,0.001847844,0.002110674,0.0009619334,0.002103167],"category_scores_gemma":[0.016769,0.0008591114,0.001389199,0.00170784,0.000848512,0.002090761,0.001521269,0.001266136,0.0002743613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203319,"about_ca_system_score_gemma":0.0009534909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02256422,"about_ca_topic_score_gemma":0.02152683,"domain_scores_codex":[0.9983974,0.0005717255,0.0001166804,0.0006019248,0.0001336457,0.0001786082],"domain_scores_gemma":[0.9921531,0.004975277,0.001678801,0.0007153127,0.0003326897,0.0001448115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009299341,0.0001204594,0.2869639,0.00005771373,0.0007773052,0.0003233576,0.0003250586,0.6659169,0.002142754,0.02492937,0.0002220631,0.01812825],"study_design_scores_gemma":[0.000007411939,0.00009741495,0.06145335,0.00001535838,0.0001040189,0.0001453932,0.0000771794,0.9245839,0.0003945569,0.01270815,0.0003698299,0.00004351692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7580819,0.0001630256,0.2383839,0.0002197209,0.00001332412,0.00007441859,0.0009042667,0.000239367,0.001920005],"genre_scores_gemma":[0.9828593,0.00009477011,0.01512596,0.00001847618,0.000006809621,0.00007496833,0.0006356764,0.0000285714,0.00115549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02256422,"threshold_uncertainty_score":0.04486579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04761523963050816,"score_gpt":0.2150408692714387,"score_spread":0.1674256296409306,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}